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Learner Reviews & Feedback for Tools for Data Science by IBM Skills Network

24,388 ratings

About the Course

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews


Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.


Sep 15, 2020

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.

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3176 - 3200 of 3,915 Reviews for Tools for Data Science

By William K A

Apr 20, 2020

Some of the videos need to be updated to show the current IBM Watson Studio layout and process.

By Rosendo C N

Oct 11, 2020

Some parts of the course were terrible boring... others were of the expected quality standards

By Christian v E

Jun 26, 2020

This course is quite dry and theoretical... hopefully the next courses will be more practical.

By Evan M

May 11, 2020

It was a good course, but some of the instructional videos were outdated and caused confusion.

By Darci D

Apr 11, 2020

Many of the videos were outdated, which made it hard to follow along while using the software.

By Hossein P

Dec 24, 2019

IBM Cloud has lots of problems and course contents are not matched with the new version of IBM

By Mark P

Jul 25, 2019

Videos are yet to be updated. With some extra effort, I was still able to find my way through.

By Saranya N

Jul 27, 2020


By Omkardeep S B

Jan 19, 2021

Audio in some of the videos were not good. Content was also not taken up from the beginning.

By Juan C C

Jan 22, 2020

Please invest the time in ensuring that the videos and descriptions match what students see.

By Chiara P M

May 15, 2019

nice overview of languages and platforms for data science. I would have liked deeper details

By Dalim M

Nov 15, 2020

really basic introduction to commonly used data science tools with a bias towards ibm tools

By Roni P

Oct 21, 2020

Sometimes there was too much information and I didn't know what the video is talking about.


Jun 10, 2020

Needs to update the Watson Studio screens, some paths don't match with the course content

By Attilio G S

Mar 2, 2020

It isn't well explained how to share the notebook so many collegues failed the final test

By Giani S

Jan 18, 2020

Presented a lot of unnecessary information with the sole purpose of selling IBM products.

By Saba A

May 23, 2020

too much commercial names and software which doesn't really add any knowledgeable value.

By Robert D

Feb 21, 2020

Some information is outdated so requires figuring out, nonetheless content is excellent.

By Alex S

Jun 6, 2019

The IBM Cloud interface did not match what was in the video. Videos need to be updated.

By Michael S

Dec 17, 2020

Some of the videos show outdated IBM Watson layouts making it harder the follow along.

By Chattarin W

Jul 27, 2020

Some workshops are quite skeptical, thus making the learners loss their comprehension

By Aburvaa R

May 31, 2020

The explanations were not beginner level. Most of the things sounded Greek and Latin.